Graduate Fellow

• Jun 2022 - Present

Graduate Research Assistant

• Jan 2020 - Present

Computer Science Research Mentor Program (CSRMP)

• Feb 2021 - May 2021

Graduate Research Assistant

• Sep 2018 - Dec 2019

Research Associate

• Jan 2016 - Jun 2017

-- ENERGY STACK: Proposed and implemented an energy stack, a layered software model, for energy management in wireless embedded networks. Delineated responsibilities of stack layers and defined interfacing APIs (C) -- ALGORITHM DEVELOPMENT: Designed and implemented fair resource allocation algorithms for intermittent and resource-constrained wireless sensor networks. Used statistical resource sharing models like max-min fairness (C) -- SIMULATION FRAMEWORK: Modified sensor network simulation framework, TOSSIM, to incorporate empirical models for energy generation, transmission, and consumption. Used modified framework for energy stack evaluations (C) -- DATA COLLECTION: Designed cost-effective sensing and control platform using sensors, Z-wave based smart plugs, and Raspberry Pi to collect temperature, humidity, and power values inside homes over year long period (C) -- DATA PROCESSING: Wrote general-purpose Python scripts using numpy, panda, and scipy libraries to process raw data from deployments and identify inconsistencies and outliers in collected dataset (Python) -- DATA REPRESENTATION: Used plotly, numpy, and matplotlib libraries to plot data to identify behavioral patterns, highlight key findings, and produce publication quality graphs (Python) - TECHNICAL WRITING: Contributed in writing system design, evaluation methodology, and result analysis sections of the research papers accepted at ACM conferences and journals (LaTeX) Show less

Research Assistant

• Dec 2014 - Dec 2015

-- SIMULATOR: Developed a modular TOSSIM-based simulation framework for modeling energy harvesting and wireless energy transfer in embedded networks. Defined interfacing APIs for framework components (C) -- MODELING: Developed empirical models for source (laser), harvester (solar panel), and energy buffer (capacitor) components in simulation framework (C) -- ALGORITHM DEVELOPMENT: Designed and implemented energy scheduling algorithms for laser-powered wireless sensor networks satisfying resource, workload, and priority constraints (C) -- HARDWARE EXPERIENCE: Used TelosB and MICAz motes to evaluate various wireless sensor network protocols implemented in TinyOS and Contiki environments (C) -- DATA ANALYTICS: Developed data processing & analytics framework to identify geographical sites where wind and solar best complement each other, high negative covariance, to develop sustainable renewable energy solution (Python) Show less